16 Business Analytics jobs in Qatar

Key Responsibilities: Financial Planning & Budgeting: Lead the annual budgeting process across all business units. Collaborate with department and subsidiary heads to consolidate and align budgets. Build financial models that support strategic business goals and performance targets. Forecasting & Analysis: Develop dynamic financial forecasts and scenario planning models. Track and report monthly, quarterly, and annual performance against budget. Conduct variance analysis with actionable insights and recommendations. Strategic Support: Evaluate investments, M&A opportunities, and other strategic initiatives through detailed business case analysis. Support the executive team with data-driven insights to inform long-term strategic planning. Reporting & KPIs: Prepare financial reports and dashboards for senior leadership and stakeholders. Identify and monitor key performance indicators across business units. Present clear and concise financial insights to drive business performance. Process Improvement & Compliance: Identify areas for process optimization in FP&A and implement best practices. Ensure accuracy, consistency, and compliance with financial policies and standards. Leverage ERP and financial tools for automation and efficiency. Skills Qualifications: Bachelor’s degree in Finance, Accounting, Economics or related discipline (Master’s / MBA / CFA preferred). 5–7 years of progressive FP&A experience, ideally in the hospitality, restaurant, or real estate sectors. Strong hands-on experience in budgeting, forecasting, and financial modeling. Proficiency in Microsoft Excel; ERP and BI tools (e.g., Oracle, SAP, Power BI) are a plus. Excellent analytical, interpersonal, and communication skills. Strong business partnering mindset with the ability to influence non-finance stakeholders. Leadership skills with the ability to manage and develop a high-performing FP&A team. Preferred: Experience in hotel or restaurant operations at a managerial level.

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Headhunter | Connecting Top Talents to Opportunities within Digital, Tech and Media | Building Diverse and High-Performing Teams | Passionate About…

Employment Type:

Full-time Industry:

Consulting | Technology | Data & Analytics A leading consulting firm is looking to hire a

Data Analytics Manager

to lead their growing data practice in Qatar. This is a strategic role for a data-driven leader who can manage cross-functional teams, deliver robust analytics solutions, and drive business impact through data. The candidate must be experienced in implementing (on-premise/cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in the Microsoft stack - Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support data-driven initiatives. What You’ll Do Lead and mentor a team of data analysts and data scientists Design and implement end-to-end data strategies aligned with business goals Manage delivery of analytics projects, ensuring accuracy, quality, and timeliness Oversee development of data pipelines and cloud-based data warehouses (Azure, Databricks) Create dashboards and reports using Power BI, Tableau, or Looker Collaborate with senior stakeholders to translate data into actionable insights Ensure data quality, governance, and performance optimization across systems What We’re Looking For 8–12 years of experience in data analytics, with at least 3 years in a leadership role Strong technical background in Azure, SQL, Power BI, ETL pipelines, and data warehousing Proficiency in Python or R is a plus Proven success in managing data teams and driving cross-departmental collaboration Experience in consulting or professional services preferred Excellent communication and stakeholder engagement skills Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s is a plus) Why Apply Work on high-impact projects across international markets Collaborate with a global team of experts in analytics and technology Opportunity to shape and scale a strategic data function in the region Competitive compensation and flexible work model

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Technology Consulting
- Microsoft Data Analytics
- MENA

With a broad understanding of the full lifecycle of our clients' business, EY has the knowledge and experience to integrate cloud strategy where it makes the most impact and transformation. EY's Microsoft cloud solutions offer a balance of business, technology, and strategy. EY works with high profile clients across the region, working to solve some of their most challenging issues. As our practice continues to grow quickly, EY is actively investing in the latest cloud technology and talent. This is the perfect time to join and make your mark on significant cloud projects across a wide variety of industries, platforms, and technologies.

**The opportunity**

EY is investing significantly in their award-winning Microsoft Data and AI practice. You will help our clients to enable better business outcomes while working in the rapidly growing cloud space. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

**Your key responsibilities**
- Designing, Architecting, and Developing solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
- Unifying, enriching, and analyzing customer data to derive insights and opportunities.
- Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
- Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
- Demonstrating deep understanding of big data technology, concepts, tools, features, functions, and benefits of different approaches
- Seeking out information to learn about emerging methodologies and technologies.
- Clarifying problems by driving to understand the true issue.
- Looking for opportunities for improving methods and outcomes
- Collaborating, influencing, and building consensus through constructive relationships and effective listening
- Solving problems by incorporating data into decision making

**To qualify for the role, you must have**
- Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
- Minimum of 8+ years of professional consulting experience in business or technology consulting or similar roles
- Strong SQL skills
- Deep experience with at least one cloud platform; Azure, Amazon, or Google.
- Experience with the toolset of Azure Synapse Analytics using Data Flows, building Spark notebooks, and building queries.
- Experience navigating various types of database models to build data sets for analytics and model training and development.
- Experience modelling data in Power BI and other PowerApps
- Experience working with different data sources in Azure that connect to Microsoft Azure Platform
- Outstanding analytical, conceptual, and problem-solving skills
- Communication and critical thinking is essential, must be able to listen and understand the question and develop and deliver clear insights
- Independent and able to manage and prioritize workload.
- Ability to adapt quickly and positively to change.

**Other Skills and attributes for success**
- Leading team members in the development of applicable methodologies, tools, approaches, points of view, thought leadership and accelerators to differentiate EY in the Cloud Technology market.
- Being proactive and driven to continually learn emerging technologies and business best practices.
- Developing long-term relationships and networks both internally and externally.
- Interacting and communicating effectively with teammates, clients, stakeholders, and executives.
- Being visible in the market to promote new ideas in your domain and the excellence in cloud consulting services offered by EY.

**What working at EY offers**

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes regional competitive package.

Plus, we offer:

- The opportunity to manage a portfolio of talent within a designated service line
- A collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects, both through established programs and on-the-job training
- An excellent team of senior colleagues dedicated to managing and varying your workload

**About EY**

As a global leader in assurance, tax, transaction and advisory services, we hire and develop t

JOB TO BE BASED IN SAUDI ARABIA

Overview:

We are seeking Downstream Data Analytics Engineer (Data Scientist) to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Key Responsibilities:

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements:

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 18 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in UPSTREAM and/or DOWNSTREAM OIL & GAS INDUSTRY.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers preferred

REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

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JOB TO BE BASED IN SAUDI ARABIA Overview: We are seeking Downstream Data Analytics Engineer (Data Scientist) to join our Digital Engineering Solutions Division under Process & Control Systems Department. Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco. As a

Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency. Key Responsibilities: As a successful candidate you will be required to perform the following: Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety. Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices. Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling. Explore diverse data sources to improve predictive modeling and optimize business strategies. Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making. Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies. Generate documentation in line with established standards to support the development and deployment process. Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions. Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques. Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge. Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation. Provide leadership and mentorship to junior team members and specialists. Minimum Requirements: As a successful candidate you will hold a: Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred. 18 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in UPSTREAM and/or DOWNSTREAM OIL & GAS INDUSTRY. Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation. Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge. Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI). Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools. Experience with IT architecture and deploying models in on-prem environments. Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks. Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers preferred REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

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The incumbent will assist in developing and deploying management reports, dashboards, and business intelligence solutions to support decision-making within the Products and Segments function of the Retail Banking division. Responsibilities include gathering and analyzing data, creating visualizations using various BI tools, and ensuring compliance with bank and regulatory policies. Detailed Roles and Responsibilities: Collaborate with internal customers to gather requirements for BI solutions. Review and rationalize new data requirements to prevent duplication. Perform detailed data analysis and modeling to support business needs and prepare relevant reports. Support the Business Intelligence Manager and testing teams in resolving issues. Maintain the quality of metadata and ensure data accuracy. Deliver high-quality information outputs, including reports, data extracts, and campaign files, on scheduled and ad hoc basis. Assist in formulating queries for report extraction and maintain dashboards showing product movements and performance metrics. Ensure the use of approved data sources and business rules for BI requirements. Support automation of reporting processes and review data utilization for feasibility. Coordinate with IT and other divisions on BI implementation and planning. Report on branch-wise data, including deposits, Green Accounts, and performance metrics. Prepare dashboards for branch performance and analyze promotional and product profitability data. Verify incentive calculations and support data entry improvements. Assist in preparing reports for management presentations and ad-hoc analysis. Research best practices and review systems to enhance BI delivery. Maintain BI tools and ensure compliance with audit and procedural standards. Uphold confidentiality, ethics, and professional conduct. Contribute to data management system improvements and post-project evaluations.

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About the role
- Responsible to establish and execute a strategy for Business Intelligence and decision optimization that will ensure the business is supplied with everything from basic historical reporting to advance and embedded analytical solutions which enables decision optimization for business.
- Accountable for identifying, shaping and delivering a business intelligence and analytics strategy that delivers incremental benefits for business using analytics, modelling and BI systems for the business
- Oversee the planning of projects to produce reports and perform meaningful quantitative or qualitative analyses addressing impactful business challenges or questions

Strategic
- Provide input through business intelligence to strategic decisions that affect the functional area of operations and capable of resolving escalated issues from QAS operations.
- Build a business intelligence and analytical strategy, roadmap planning and functions to deliver accelerated growth across the business areas.
- Develop the strategy and practices to define, measure and manage key performance indicators across QAS in compliance with QR Group values.
- Build strategic partnership and work closely with the IT team to mature analytics within QAS organization and align with overall QAS strategy and objectives.

Operational
- Take the lead in formalizing and scaling up growing analytics functions to act as analytics partners for various teams across QAS Ground Handling (GH) to provide actionable data and insights about the QAS business and operations that will help uncover business insights and guide decision making with highest standards and consistency of data and analytics.
- Work closely with senior leadership across the organization to build trusted relationships, understanding analytics needs, and building programs which uncover meaningful insights into drivers of the business
- Responsible to develop functional analysis within the organization to support the operational data needs and measuring the right things and enabling data-driven decision making throughout QAS GH.
- Lead a BI team to build and meet reporting needs, visualizing information that tells the data-driven story to the business by connecting data from multiple sources to provide insightful and actionable analysis, reports, and dashboards that drive key business decisions.
- Find innovative ways to search for meaningful patterns, trends, and relationships amongst large amounts of data and to identify the success measures, analyses and reporting processes that lead to actionable findings.
- Support various teams, including Business Development, QAS Planning and QAS Operations by providing data, simulations statistics, and other meaningful insights that will support them on conducting feasibility studies, demos, scoping assessments and building proposals in project delivery.
- Utilizing the BI team, develop and deliver business intelligence via dashboards and reporting that are easy to understand, flexible and effectively deliver insight to QAS senior management on actionable KPIs in order to track performance and improve various areas of business.
- Lead the team to improve data capability and data architecture to support the BI mission and foster a data informed approach.

Management & Leadership
- Establish the department or teams objectives and priorities to align with and support business objectives.
- Regularly evaluate the department or teams objectives, plans, procedures and practices, and makes appropriate changes if needed.
- Oversee and supervise employees. Direct daily activities, recruit, train, develop and discipline to ensure a high standard of service delivery.
- Train and develop other employees, to ensure succession planning is in place.
- To be committed and contribute to the National talent development, by coaching the national developees, preparing them for a career with boundless potential. Leading to the program’s continued growth and success

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.
Together, everything is possible

**Qualifications**:
About You
- Bachelor’s Degree or Equivalent with Minimum 8 years of job-related experience Essential
- Experience either in analytics, business intelligence or senior IT data role
- Strong experience with performance tuning business intelligence and database platforms for maximum performance in technical configuration
- Preferred - Experience in ground handling / airline business intelligen

Business Intelligence Analyst (Bilingual)

Employer: Government Sector
Job Type: Full Time / Permanent
Job Location: Doha, Qatar
Languages: Bilingual required
Salary: Negotiable
Start Date: ASAP

Job Description

• Senior BI Developer with 8+ years of experience

Responsibilities & Duties

• As a Business Intelligence Analyst, you will be a member of the Business Intelligence production support and development team.

• Collaborate with the business, data engineering, and operations teams to transform business needs into metadata models, reports, dashboards, and visualizations.

• Work closely with application teams, business/functional experts, solution architects, developers, and platform administrators.

• Manage the complete BI lifecycle: requirements collection, documentation, analysis, data analysis, visualization, report/dashboard development, metadata model development, and data package creation.

• Ensure data quality, accuracy, reliability, and timeliness through testing, reviews, monitoring, contingency planning, and consistency checks.

• Act as a client-facing, techno-functional resource, engaging with business stakeholders and users.

• Perform quality assurance and verification of all reports and dashboards to ensure accuracy and data integrity before release.

Qualifications

• Proven hands-on experience in designing and developing data visualizations, dashboards, reports, metadata models, and ETL packages.

• Strong understanding of data modeling concepts and techniques; hands-on experience developing metadata dimensional models using MS Power BI.

• 7+ years of experience delivering BI reporting & analytics solutions.

• 5+ years’ experience with Microsoft Power BI, including DAX.

• Experience with Oracle, MS SQL Server, Azure Data Lake.

• SAP Hana and/or SAP BusinessObjects experience is a strong plus.

• Proficient in SQL for querying and managing data.

• Experience in data extraction, transformation, and integration using ETL tools such as MS SSIS, MS Data Factory, or SAP BODS.

• Strong understanding of business processes, KPI formulation, and stakeholder collaboration.

• Experience working with ERP, HRMS, Supply Chain, or financial solutions.

Education Requirements

• Bachelor’s degree in Computer Science, Statistics, Business Analytics, or a related field.

Must Have:

• 5+ years MS Power BI, SQL

• 8+ years in data modeling, self-service BI, data visualization, reporting, and ETL

• 3+ years working closely with senior stakeholders on business reporting requirements

Good to Have:

• SAP Hana

• SAP BusinessObjects

• Azure Data Factory

• Experience in cloud data and analytics services

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Business Intelligence Analyst (Bilingual) Employer:

Government Sector Job Type:

Full Time / Permanent Job Location:

Doha, Qatar Languages:

Bilingual required Salary:

Negotiable Start Date:

ASAP Job Description Senior BI Developer with 8+ years of experience

Responsibilities & Duties As a Business Intelligence Analyst, you will be a member of the Business Intelligence production support and development team.

Collaborate with the business, data engineering, and operations teams to transform business needs into metadata models, reports, dashboards, and visualizations.

Work closely with application teams, business/functional experts, solution architects, developers, and platform administrators.

Manage the complete BI lifecycle: requirements collection, documentation, analysis, data analysis, visualization, report/dashboard development, metadata model development, and data package creation.

Ensure data quality, accuracy, reliability, and timeliness through testing, reviews, monitoring, contingency planning, and consistency checks.

Act as a client-facing, techno-functional resource, engaging with business stakeholders and users.

Perform quality assurance and verification of all reports and dashboards to ensure accuracy and data integrity before release.

Qualifications Proven hands-on experience in designing and developing data visualizations, dashboards, reports, metadata models, and ETL packages.

Strong understanding of data modeling concepts and techniques; hands-on experience developing metadata dimensional models using MS Power BI.

7+ years of experience delivering BI reporting & analytics solutions.

5+ years’ experience with Microsoft Power BI, including DAX.

Experience with Oracle, MS SQL Server, Azure Data Lake.

SAP Hana and/or SAP BusinessObjects experience is a strong plus.

Proficient in SQL for querying and managing data.

Experience in data extraction, transformation, and integration using ETL tools such as MS SSIS, MS Data Factory, or SAP BODS.

Strong understanding of business processes, KPI formulation, and stakeholder collaboration.

Experience working with ERP, HRMS, Supply Chain, or financial solutions.

Education Requirements Bachelor’s degree in Computer Science, Statistics, Business Analytics, or a related field.

Must Have: 5+ years MS Power BI, SQL

8+ years in data modeling, self-service BI, data visualization, reporting, and ETL

3+ years working closely with senior stakeholders on business reporting requirements

Good to Have: SAP Hana

SAP BusinessObjects

Azure Data Factory

Experience in cloud data and analytics services

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